Computational Linguistics
Computational Linguistics
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directed graphs
directed graphs
มุมมอง: 518

วีดีโอ

Simple Graphs
มุมมอง 258ปีที่แล้ว
The video explains what are the properties of a simple graph. It explains the mathematical representation of graphs. It further explains the rules that ensure that a graph is a simple graph. Such rules are a) not having loops, b) no multiple edges between the same pair of vertices, c) the graph is undirected and d) the graph is unweighted. Simple graphs are more often used are they are computat...
Complex network analysis
มุมมอง 1.2K2 ปีที่แล้ว
Complex network analysis refers to the study of large networks that possess properties which could not be found otherwise in simple graphs. They generally represent bigger systems, like the networks of all web pages on the WWW. It has emerged as a new field comprising basics of graph theory, community detection and machine learning. These networks can be studied in static or dynamic arrangement...
Social network analysis
มุมมอง 1.2K2 ปีที่แล้ว
What is social network analysis, network analysis and graph theory. Social network analysis helps understand public behavior or response towards commercial products, government policies or any trending issue. It has been used as the first source of information in emergency situations and natural disasters. Analyzing social networks data for in-time and better decision-making is becoming more of...
data cleaning (Course Promo)
มุมมอง 662 ปีที่แล้ว
Data cleaning is where data scientists spend the majority of their time. The data is coming from multiple sources and may not sit well together. Furthermore, there may be human errors and errors due to software/hardware failure. If the data received from the real-world sources is not properly cleaned, scaled, organized and well presented, even the latest models may not yield good results. It is...
Handling Missing Values and Noise Values (Univariate Outliers)
มุมมอง 1812 ปีที่แล้ว
The lecture explains how to deal with missing values and noise values or univariate outliers in a dataset. It is part of the data cleansing or cleaning series that discusses different techniques for detecting and handling various issues in data. These tasks are performed as preprocessing the data so that only good quality data can be provided for training machine learning models. The techniques...
feature types
มุมมอง 4092 ปีที่แล้ว
There are two types of features in structured data. They are numerical features and categorical features. Numerical features are represented by either Integers (discrete numbers) or real (floating point) values. Categorical features are represented by string values. They may either be Ordinal or Nominal. Ordinal categorical features are string values with a specific order, while there is no suc...
Language basic analytics (Roman Burushaski)
มุมมอง 602 ปีที่แล้ว
The video provide code walkthrough of basic analytics of burushaski. It identifies some statistics about the dataset like max sentence size, word size, average words per sentence and few others. It also shows how to generate the wordcloud for the dataset and performed topic modeling and its visualizations as well.
Endangered Languages (Burushaski)
มุมมอง 792 ปีที่แล้ว
There are many languages that are endangered of going extinct. We can preserve these languages by building tools that would promote the digital use of these languages. Burushaski is an endangered language with 87000 speakers categorized as vulnerable by UNESCO. #languages #endangeredlanguages #Burushaski
Text Preprocessing, NLP
มุมมอง 3522 ปีที่แล้ว
The video provides theoretical explanation and coding exercises for the various preprocessing steps used on textual data. Which preprocessing steps are required on your data depends on the nature of tasks you intend to perform. More straightforward tasks like classifying between two types of class labels may require more preprocessing to reduce computational cost. The information lost in prepro...
RM L4: Writing Literature review, proposed work and experimental results
มุมมอง 483 ปีที่แล้ว
RM L4: Writing Literature review, proposed work and experimental results
WP L12: Jquery Animate
มุมมอง 383 ปีที่แล้ว
WP L12: Jquery Animate
WP L11: JQuery
มุมมอง 393 ปีที่แล้ว
WP L11: JQuery
NLP L5: Topic Modeling
มุมมอง 1933 ปีที่แล้ว
NLP L5: Topic Modeling
RM L3: Reading / Writing Abstract, Introduction and Literature Review
มุมมอง 643 ปีที่แล้ว
RM L3: Reading / Writing Abstract, Introduction and Literature Review
WP L9: Javascript
มุมมอง 423 ปีที่แล้ว
WP L9: Javascript
WP L8: Javascript
มุมมอง 603 ปีที่แล้ว
WP L8: Javascript
NLP L4: Text Vectorization and Text Categorization
มุมมอง 1503 ปีที่แล้ว
NLP L4: Text Vectorization and Text Categorization
WP L7: Cascading stylesheets
มุมมอง 273 ปีที่แล้ว
WP L7: Cascading stylesheets
RM L2: Starting a research degree
มุมมอง 263 ปีที่แล้ว
RM L2: Starting a research degree
WP L8: Javascript
มุมมอง 103 ปีที่แล้ว
WP L8: Javascript
WP L6: Cascading stylesheets
มุมมอง 373 ปีที่แล้ว
WP L6: Cascading stylesheets
RM L1: Basic discussion
มุมมอง 603 ปีที่แล้ว
RM L1: Basic discussion
WP L3: Web Technologies and Web application architecture
มุมมอง 443 ปีที่แล้ว
WP L3: Web Technologies and Web application architecture
NLP Fall21: L1. Introduction
มุมมอง 883 ปีที่แล้ว
NLP Fall21: L1. Introduction
WP L2: History of Internet and Worldwide web
มุมมอง 153 ปีที่แล้ว
WP L2: History of Internet and Worldwide web
WP, L1: Overview and outline (Urdu / English)
มุมมอง 273 ปีที่แล้ว
WP, L1: Overview and outline (Urdu / English)
Link Analysis: Betweenness centrality
มุมมอง 16K3 ปีที่แล้ว
Link Analysis: Betweenness centrality
Network Analysis: Link Analysis using closeness centrality
มุมมอง 1.3K3 ปีที่แล้ว
Network Analysis: Link Analysis using closeness centrality
MLDS MID Q5 Answer: Calculating Precision and Recall from Confusion Matrix
มุมมอง 8K3 ปีที่แล้ว
MLDS MID Q5 Answer: Calculating Precision and Recall from Confusion Matrix

ความคิดเห็น

  • @MuhammadAbdullah368-c
    @MuhammadAbdullah368-c 2 หลายเดือนก่อน

    Best 👍

  • @AleemUllah-w9j
    @AleemUllah-w9j 2 หลายเดือนก่อน

    precious concepts love you sir💖💖💖💖💖💖💖💖💖💖💖💖💖💖💖💖

  • @GrkGod29
    @GrkGod29 2 หลายเดือนก่อน

    Wouldn't the undirected graph be /7 and a directed graph be /10. Given the undirected edges would be counted up to 7 and for it to be 10 it'll have to include the directional aspect

  • @Spirit_habitat
    @Spirit_habitat 2 หลายเดือนก่อน

    Thanks so much for the explanation! Excellent video! May I ask a clarifying question? why is the denominator 5 instead of 6 (7 edges -1)? Thank you for your explanation!

  • @InamAli-ui6we
    @InamAli-ui6we 3 หลายเดือนก่อน

    Thanks SiR.

  • @mehakali-z1i
    @mehakali-z1i 4 หลายเดือนก่อน

    how you could say Burushaski is endangered. It is not.

  • @MuhammadAbdullah368-c
    @MuhammadAbdullah368-c 4 หลายเดือนก่อน

    Great 👍👍👍

  • @MuhammadAbdullah368-c
    @MuhammadAbdullah368-c 4 หลายเดือนก่อน

    👍👍👍

  • @mherrafiq7250
    @mherrafiq7250 6 หลายเดือนก่อน

    not understtood

  • @HanaG-k8x
    @HanaG-k8x 7 หลายเดือนก่อน

    in 0/1, how will you get 1?

  • @kira15318
    @kira15318 7 หลายเดือนก่อน

    Thank you

  • @Adel-tj6qb
    @Adel-tj6qb 8 หลายเดือนก่อน

    I love you

  • @PEDROHENRIQUEVICENTEDONASCIMEN
    @PEDROHENRIQUEVICENTEDONASCIMEN 9 หลายเดือนก่อน

    Muito bom, excelente !

  • @mostofafiroz5033
    @mostofafiroz5033 9 หลายเดือนก่อน

    I have a skepticism about the betweenness centrality in this lecture cause the CB(3) in undirected condition would be 6 but you mentioned it as 0.6. I hope you will mend it.

  • @ShubhamKumar-nu8rt
    @ShubhamKumar-nu8rt 9 หลายเดือนก่อน

    How n=6 and not 7?

  • @Aceplosion
    @Aceplosion 10 หลายเดือนก่อน

    Good video, however you should have a double ended arrow between 3 and 4. Thank you

  • @nine9nineteen193
    @nine9nineteen193 11 หลายเดือนก่อน

    tnx man u saved us

  • @jstransportation2455
    @jstransportation2455 11 หลายเดือนก่อน

    cool

  • @natureasthetic5914
    @natureasthetic5914 ปีที่แล้ว

    notes??

  • @Dorianazzz
    @Dorianazzz ปีที่แล้ว

    Why we don"t involve the situation of j>k in the directed graph when we calculate the betweeness centrality? I can understand we ignore these situations in the undirected graph, because the result is double . In this directed graph, if we calculate E→C, the result will be different. I mean E does have an effect on C in the directed graph, which is not reflected in the paths we have already calculated, right?

  • @Dorianazzz
    @Dorianazzz ปีที่แล้ว

    thanks! it helps a lot!

  • @sayaligaikwad1183
    @sayaligaikwad1183 ปีที่แล้ว

    How calculate f1score?

  • @vasudevkesharwani8360
    @vasudevkesharwani8360 ปีที่แล้ว

    Thanks a lot 😊

  • @vicmurai1033
    @vicmurai1033 ปีที่แล้ว

    Thanks for the tutorial

  • @allexmathew1656
    @allexmathew1656 ปีที่แล้ว

    Best vedio I've seen so far thank you soo much

  • @justinebrylemacaso4186
    @justinebrylemacaso4186 ปีที่แล้ว

    hello! can i ask what book are you using ?

  • @pr47hmesh
    @pr47hmesh ปีที่แล้ว

    Thanks :)

  • @Mike14264
    @Mike14264 ปีที่แล้ว

    Hold up... isn't the closeness centrality of a node the inverse of the mean of the shortest paths between it and all others? So, wouldn't C(A) be 4/(1 + 2 + 2 + 3)? Meanwhile, the normalized value divides it by (n - 1), effectively making C'(A) = 1/(1 + 2 + 2 + 3), right?

  • @plogghuy
    @plogghuy ปีที่แล้ว

    For those wondering the type is actually the normalised closeness centrality measure ie the closeness centrality divided by the total number of nodes -1. Since the pre normalised centrality is the sum raised to the -1 we get the type on screen

  • @robin180
    @robin180 ปีที่แล้ว

    Really helpful!! thanks

  • @FREeZe_Reaper
    @FREeZe_Reaper ปีที่แล้ว

    You’ve saved my life I swear❤️

  • @Mr.Ethico
    @Mr.Ethico ปีที่แล้ว

    detailed explanation with multiple example 🔥🔥 great

  • @ArunkumarParameswaran
    @ArunkumarParameswaran ปีที่แล้ว

    How to find betweeness of 1000 nodes in undirected graph?? Please do reply for this

  • @jahanvi9429
    @jahanvi9429 ปีที่แล้ว

    thank you

  • @barath0409
    @barath0409 2 ปีที่แล้ว

    Great explanation. Thank you

  • @entrepreneuriatrecherchesetcon
    @entrepreneuriatrecherchesetcon 2 ปีที่แล้ว

    Thank you for your presentation. But,in case of many nodes,calculations can be difficult. Based on your video, I show how to calculate prestige in Rstudio. This is the link. th-cam.com/video/LFVLvYMPmaI/w-d-xo.html

  • @francescos7361
    @francescos7361 2 ปีที่แล้ว

    Thanks , for this educational contribution.

  • @sushmitapaul7510
    @sushmitapaul7510 2 ปีที่แล้ว

    Thank you sir

  • @jarrydnii9993
    @jarrydnii9993 2 ปีที่แล้ว

    BEST TEACHER!!!

  • @Sgtsk125
    @Sgtsk125 2 ปีที่แล้ว

    why not indegree was considered?and when to consider indegree and outdegree for degree centraility?

  • @4u2nv787
    @4u2nv787 2 ปีที่แล้ว

    Great work sir, really useful stuff and the way you explain it! Awesome!

  • @irfanamin1333
    @irfanamin1333 2 ปีที่แล้ว

    Sir How can I get complete code that you wrote

    • @computationallinguistics3734
      @computationallinguistics3734 2 ปีที่แล้ว

      Dear Irfan, it's advised that you code along watching the video and better have your own modifications / experimentation with the code to understand better.

  • @sujoypaul3504
    @sujoypaul3504 2 ปีที่แล้ว

    how there is 6 in numarator for node 3

  • @muskduh
    @muskduh 2 ปีที่แล้ว

    Appreciate the videos!

  • @hassaanhameed
    @hassaanhameed 2 ปีที่แล้ว

    well explained :)

  • @muhammadhassaan3785
    @muhammadhassaan3785 2 ปีที่แล้ว

    well explained

  • @subhamraj7124
    @subhamraj7124 2 ปีที่แล้ว

    in directed graph why we consider only A to C distance and not C to A?

    • @771aryan
      @771aryan ปีที่แล้ว

      Yes, from C to A should also be considered as they will be different paths. The same applies to DA, EA, DC, EC, ED also. However, in the example, all of these values (DA, EA, DC, EC, ED) will come out to be zero and will not affect the actual result. DA will not be included as there will be no path from D to A.

    • @lakshsinghania
      @lakshsinghania 8 หลายเดือนก่อน

      @@771aryanand there is no path from C to A so we have ignored 👍🏻

    • @harsh5288
      @harsh5288 8 หลายเดือนก่อน

      @@lakshsinghania bro j<k so we wont consider those paths

  • @adeyinkaAdedejiNaMe
    @adeyinkaAdedejiNaMe 2 ปีที่แล้ว

    Thanks for the video. It was educative but I noticed you did not calculate the degree of centrality for node 2 GREAT VIDEO!!

  • @theonlyvhk28
    @theonlyvhk28 2 ปีที่แล้ว

    Made sense

  • @olivier306
    @olivier306 2 ปีที่แล้ว

    actually really useful, thanks!